TransformationModelInterpolated

class pyopenms.TransformationModelInterpolated

Bases: object

Cython implementation of _TransformationModelInterpolated

Original C++ documentation is available here

– Inherits from [‘TransformationModel’]

__init__(self, data: List[TM_DataPoint], params: Param) → None

Methods

__init__(self, data, params)
checkDatumRange(self, datum, datum_min, ...)	Check that the datum is within the valid min and max bounds
checkValidWeight(self, weight, valid_weights)	Check for a valid weighting function string
evaluate(self, value)	Evaluate the interpolation model at the given value
getDefaultParameters(self, in_0)	Gets the default parameters
getParameters(self)
getValidXWeights(self)	Returns a list of valid x weight function stringss
getValidYWeights(self)	Returns a list of valid y weight function strings
unWeightData(self, data)	Unweight the data by the given weight function
unWeightDatum(self, datum, weight)	Apply the reverse of the weighting function to the data
weightData(self, data)	Weight the data by the given weight function
weightDatum(self, datum, weight)	Weight the data according to the weighting function

checkDatumRange(self, datum: float, datum_min: float, datum_max: float) → float

Check that the datum is within the valid min and max bounds

checkValidWeight(self, weight: bytes | str | String, valid_weights: List[bytes]) → bool

Check for a valid weighting function string

evaluate(self, value: float) → float

Evaluate the interpolation model at the given value

Parameters:

value – The position where the interpolation should be evaluated

Returns:

The interpolated value

getDefaultParameters(self, in_0: Param) → None

Gets the default parameters

getParameters(self) → Param

getValidXWeights(self) → List[bytes]

Returns a list of valid x weight function stringss

getValidYWeights(self) → List[bytes]

Returns a list of valid y weight function strings

unWeightData(self, data: List[TM_DataPoint]) → None

Unweight the data by the given weight function

unWeightDatum(self, datum: float, weight: bytes | str | String) → float

Apply the reverse of the weighting function to the data

weightData(self, data: List[TM_DataPoint]) → None

Weight the data by the given weight function

weightDatum(self, datum: float, weight: bytes | str | String) → float

Weight the data according to the weighting function